Senior Development Operations Engineer (DevOps)

Rapta•Lake Oswego, OR

1d•Remote

About The Position

Rapta is revolutionizing American manufacturing with our AI-powered vision systems. Our cutting-edge software platform expands manufacturing capacity 30% by reducing errors 90%+ and automating quality control and inspection processes. We're looking for a talented senior development operations engineer to join our mission and make a real impact. We're seeking an experienced senior development operations (DevOps) engineer to own the build, test, and deployment pipeline for our distributed computer vision platform running at edge sites across customer manufacturing floors. This is a full-time remote position working directly with our engineering team to harden our release process, drive deployment automation, and pioneer LLM-driven test generation and validation at Rapta.

Requirements

10+ years of professional experience in release engineering, DevOps, or SRE roles shipping production Linux systems
Deep curiosity for software, infrastructure, and applied AI — particularly using LLMs as production engineering tools, not just chat assistants
Expert-level Python (3.8+) with a strong grasp of packaging, dependency resolution, and PEP 440 versioning discipline
Demonstrated ownership of Linux fleets at scale — kernel, systemd, networking, package management
Excellence in technical communication, runbook authorship, and post-incident documentation
Strong systems thinking — comfortable reasoning about failure modes across hardware, OS, container, and application layers
Expert proficiency with Ansible (roles, dynamic inventory, idempotent design); working knowledge of Terraform
Expert proficiency with Docker, including creation and lifecycle management of containers, image hardening, registry management and installing & configuring the NVIDIA container runtime
Production experience with Linux administration: systemd, networking (VLANs, DHCP, DNS), kernel/driver management (especially NVIDIA/DKMS), package and APT internals
Strong Python skills focused on tooling, automation, packaging (wheels, pip, private indexes), and subprocess/CI integration
Proficiency with Git workflows, branching strategies, and modern CI/CD systems (GitHub Actions, GitLab CI, or equivalent)
Experience designing and operating automated test infrastructure — unit, integration, hardware-in-the-loop, and end-to-end
Practical experience using LLMs (Anthropic, OpenAI, or local) as part of engineering workflows — test generation, code review augmentation, log analysis, or agentic tooling

Nice To Haves

Bazel or similar monorepo build systems
Edge or embedded deployment experience
Tailscale, WireGuard, or zero-trust networking in production
gRPC/protobuf service ecosystems
Vault, PKI, or secrets management at fleet scale
Background in regulated or compliance-driven environments (CMMC, ISO 27001, SOC 2)

Responsibilities

Own and evolve the end-to-end release pipeline — branching strategy, build orchestration, artifact promotion, and rollback — across our Bazel monorepo and Python deployable units
Design and maintain Ansible-driven fleet automation for heterogeneous Linux edge nodes (Ubuntu LTS, NVIDIA driver stacks, Docker with NVIDIA runtime)
Manage all update tooling, currently written in Golang
Build LLM-powered automated testing systems: test generation from specs, flake triage, log/failure analysis, regression diffing, and release-note synthesis from commit and ticket history
Harden CI/CD for offline and bandwidth-constrained deployment targets (airgap wheel distribution, signed artifacts, deterministic builds)
Drive observability for releases — deployment telemetry, version drift detection, and post-deploy health validation across the fleet
Mentor engineers on release hygiene, reproducible builds, and infrastructure-as-code practices